no message

app.py

@@ -2,7 +2,8 @@ import streamlit as st
 from transformers import pipeline
 from PIL import Image
 from datasets import load_dataset, Image
-from PIL import Image
+from PIL import Image, ExifTags
+
 
 MODELS = [
             "google/vit-base-patch16-224", #Classifição geral
@@ -34,7 +35,7 @@ def classify_full_dataset(shosen_dataset_name, chosen_model_name):
         SCROLLABLE_TEXT.write("i-1:" + str(i-1))
         image_object = dataset['pasta'][i-1]["image"]
         SCROLLABLE_TEXT.image(image_object, caption="Uploaded Image", width=300)
-        extract_metadata = dataset['pasta'][i-1]["metadata"]
+        extract_metadata = { ExifTags.TAGS[k]: v for k, v in img._getexif().items() if k in ExifTags.TAGS }
         SCROLLABLE_TEXT.write(extract_metadata)
         #classification
         classification_result = classifier_pipeline(image_object)

requirements.txt

@@ -5,4 +5,8 @@ datasets
 datasets[vision]
 torch
 tensorflow
-huggingface_hub
+huggingface_hub
+pip
+Pillow
+defusedxml 
+olefile